FDistribution

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. final def ==(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

4. def apply(x: Double): Double

   

   Returns the unnormalized value of the measure

   Returns the unnormalized value of the measure

   Definition Classes

   ContinuousDistr → Density

5. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

6. def cdf(x: Double): Double

   

   Definition Classes

   ApacheContinuousDistribution → HasCdf

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

8. def condition(p: (Double) ⇒ Boolean): Rand[Double]

   

   Definition Classes

   Rand

9. def draw(): Double

   

   Gets one sample from the distribution.

   Gets one sample from the distribution. Equivalent to sample()

   Definition Classes

   ApacheContinuousDistribution → Rand

10. def drawMany(n: Int): Array[Double]

    

    Definition Classes

    ApacheContinuousDistribution

11. def drawOpt(): Option[Double]

    

    Overridden by filter/map/flatmap for monadic invocations.

    Overridden by filter/map/flatmap for monadic invocations. Basically, rejeciton samplers will return None here

    Definition Classes

    Rand

12. final def eq(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

13. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

14. def filter(p: (Double) ⇒ Boolean): Rand[Double]

    

    Definition Classes

    Rand

15. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

16. def flatMap[E](f: (Double) ⇒ Rand[E]): Rand[E]

    

    Converts a random sampler of one type to a random sampler of another type.

    Converts a random sampler of one type to a random sampler of another type. Examples: randInt(10).flatMap(x => randInt(3 * x.asInstanceOf[Int]) gives a Rand[Int] in the range [0,30] Equivalently, for(x <- randInt(10); y <- randInt(30 *x)) yield y

    f

    the transform to apply to the sampled value.

    Definition Classes

    Rand

17. def foreach(f: (Double) ⇒ Unit): Unit

    

    Samples one element and qpplies the provided function to it.

    Samples one element and qpplies the provided function to it. Despite the name, the function is applied once. Sample usage:

     for(x <- Rand.uniform) { println(x) } 
    

    f

    the function to be applied

    Definition Classes

    Rand

18. def get(): Double

    

    Definition Classes

    Rand

19. final def getClass(): Class[_]

    

    Definition Classes

    AnyRef → Any

20. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

21. final val inner: org.apache.commons.math3.distribution.FDistribution

    

    Attributes

    protected

    Definition Classes

    FDistribution → ApacheContinuousDistribution

22. def inverseCdf(p: Double): Double

    

    Definition Classes

    ApacheContinuousDistribution → HasInverseCdf

23. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

24. def logApply(x: Double): Double

    

    Returns the log unnormalized value of the measure

    Returns the log unnormalized value of the measure

    Definition Classes

    ContinuousDistr → Density

25. lazy val logNormalizer: Double

    

    Definition Classes

    ApacheContinuousDistribution → ContinuousDistr

26. def logPdf(x: Double): Double

    

    Definition Classes

    ContinuousDistr

27. def map[E](f: (Double) ⇒ E): Rand[E]

    

    Converts a random sampler of one type to a random sampler of another type.

    Converts a random sampler of one type to a random sampler of another type. Examples: uniform.map(_*2) gives a Rand[Double] in the range [0,2] Equivalently, for(x <- uniform) yield 2*x

    f

    the transform to apply to the sampled value.

    Definition Classes

    Rand

28. def mean: Double

    

    Definition Classes

    ApacheContinuousDistribution

29. def mode: Double

    

30. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

31. lazy val normalizer: Double

    

    Definition Classes

    ContinuousDistr

32. final def notify(): Unit

    

    Definition Classes

    AnyRef

33. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

34. def pdf(x: Double): Double

    

    Returns the probability density function at that point.

    Returns the probability density function at that point.

    Definition Classes

    ApacheContinuousDistribution → ContinuousDistr

35. def probability(x: Double, y: Double): Double

    

    Definition Classes

    ApacheContinuousDistribution → HasCdf

36. def sample(n: Int): IndexedSeq[Double]

    

    Gets n samples from the distribution.

    Gets n samples from the distribution.

    Definition Classes

    Rand

37. def sample(): Double

    

    Gets one sample from the distribution.

    Gets one sample from the distribution. Equivalent to get()

    Definition Classes

    Rand

38. def samples: Iterator[Double]

    

    An infinitely long iterator that samples repeatedly from the Rand

    An infinitely long iterator that samples repeatedly from the Rand

    returns

    an iterator that repeatedly samples

    Definition Classes

    Rand

39. def samplesVector[U >: Double](size: Int)(implicit m: ClassTag[U]): DenseVector[U]

    

    Return a vector of samples.

    Return a vector of samples.

    Definition Classes

    Rand

40. final def synchronized[T0](arg0: ⇒ T0): T0

    

    Definition Classes

    AnyRef

41. def toString(): String

    

    Definition Classes

    AnyRef → Any

42. def unnormalizedLogPdf(x: Double): Double

    

    Definition Classes

    ApacheContinuousDistribution → ContinuousDistr

43. def unnormalizedPdf(x: Double): Double

    

    Returns the probability density function up to a constant at that point.

    Returns the probability density function up to a constant at that point.

    Definition Classes

    ContinuousDistr

44. def variance: Double

    

    Definition Classes

    ApacheContinuousDistribution

45. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

46. final def wait(arg0: Long, arg1: Int): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

47. final def wait(arg0: Long): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

48. def withFilter(p: (Double) ⇒ Boolean): Rand[Double]

    

    Definition Classes

    Rand